Description Usage Arguments Value References See Also Examples
Benjamini & Hochberg (1995)'s procedure on the correlation matrix entries (no theoretical proof of control).
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data |
matrix of observations |
alpha |
level of multiple testing |
stat_test |
|
vect |
if TRUE returns a vector of TRUE/FALSE values, corresponding to vectorize(cor(data)) if FALSE, returns an array containing TRUE/FALSE values for each entry of the correlation matrix |
arr.ind |
if TRUE, returns the indexes of the significant correlations, with respect to level alpha |
Returns
logicals, equal to TRUE if the corresponding element of the statistic vector is rejected, as a vector or a matrix depending of the value of vect
,
an array containing indexes \lbrace(i,j),\,i<j\rbrace for which correlation between variables i and j is significant, if arr.ind=TRUE
.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the royal statistical society. Series B (Methodological), 289-300.
ApplyFdrCor, BHBootCor
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